Alternatives to Pryon

Dialogflow by Google Cloud is a natural-language understanding platform that allows you to create and integrate a conversational interface into your mobile, web, or device. It also makes it easy for you to integrate a bot, interactive voice response system, or other type of user interface into your app, web, or mobile application. Dialogflow allows you to create new ways for customers to interact with your product. Dialogflow can analyze input from customers in multiple formats, including text and audio (such as voice or phone calls). Dialogflow can also respond to customers via text or synthetic speech. Dialogflow CX, ES offer virtual agent services for chatbots or contact centers. Agent Assist can be used to assist human agents in contact centers that have them. Agent Assist offers real-time suggestions to human agents, even while they are talking with customers.

kama.ai's Designed Emotional Intelligence, kama DEI, truly understands the meaning and human impact behind your client or user's situation or inquiry the way we as people understand each other. Our Natural Language Understanding (NLU) technology, combined with our proprietary knowledge base, and our human value guidance algorithm supports true human-like understanding and inference behind the interactions with users. Our knowledge base content is easily 'programmed' in natural language, rated by human values, that we all understand, creating an ever expanding Virtual Agent that can answer questions for your clients, employees or other stakeholders. Conversation journeys deliver prioritized product and service information, directly the way your product or service experts or client practitioners want to communicate it. No data scientists or programmers are required. kama DEI Agents can 'speak' over our website chat interface, Facebook Messenger, smart speakers, or from within mobile applications. Ultimately, we help you get the right information, to the right people, at the right time, providing any-time client engagement, increasing your marketing ROI and building your brand's loyalty

Based on your interests, history, and role, you will receive personalized and recommended results. QuaerisAI provides near-real-time data access for all data. QuaerisAI enhances your data and document workload with AI. To increase knowledge sharing and track performance, teams can share insights and pinboards. Our advanced AI engine transforms your inquiry to a database-ready language within micro-seconds. Data is nothing without context, just like life. Our cognitive AI engine interprets search terms, interests, roles, and past history to provide ranks results that allow further exploration. You can easily add filters to search results to dig into the details and explore relevant questions.

Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.

IBM watsonx Assistant is a next-gen conversational AI solution—it that empowers a broader audience that includes non-technical business users, anyone in your organization to effortlessly build generative AI Assistants that deliver frictionless self-service experiences to customers across any device or channel, help boost employee productivity, and scale across your business. -User-friendly interface with drag-and-drop conversation builder and pre-built templates. -Out-of-the-box Large Language Models, Large Speech Models, Natural Language Processing and Understanding (NLP, NLU), and Intelligent Context Gathering, to better understand the context of each conversation in natural language. -Retrieval-augmented generation (RAG) for accurate, contextual, and up-to-date conversational answers around the clock, grounded in your company's knowledge base.

Google AI Studio is an online tool that's free and allows individuals and small groups to create apps and chatbots by using natural language prompting. It allows users to create API keys and prompts for app development. Google AI Studio allows users to discover Gemini Pro's APIs, create prompts and fine-tune Gemini. It also offers generous free quotas, allowing 60 requests a minute. Google has also developed a Generative AI Studio based on Vertex AI. It has models of various types that allow users to generate text, images, or audio content.

Amazon Lex allows you to create conversational interfaces in any application by using voice and text. Amazon Lex offers advanced deep learning functions such as automatic speech recognition (ASR), which converts speech to text, or natural language understanding (NLU), which recognizes the intent of the text. This allows you to create applications that are engaging and have lifelike conversations. Amazon Lex gives developers the same deep learning technology that powers Amazon Alexa. This allows them to quickly and easily create sophisticated, natural-language, conversational bots ("chatbots") with ease. Amazon Lex allows you to create bots that increase productivity in the contact center, automate simple tasks and improve operational efficiency across the enterprise. Amazon Lex is a fully managed service that scales automatically so you don’t have to worry about infrastructure management.

You can use advanced language models and coding to solve a variety of problems. To build cutting-edge applications, leverage large-scale, generative AI models that have deep understandings of code and language to allow for new reasoning and comprehension. These coding and language models can be applied to a variety use cases, including writing assistance, code generation, reasoning over data, and code generation. Access enterprise-grade Azure security and detect and mitigate harmful use. Access generative models that have been pretrained with trillions upon trillions of words. You can use them to create new scenarios, including code, reasoning, inferencing and comprehension. A simple REST API allows you to customize generative models with labeled information for your particular scenario. To improve the accuracy of your outputs, fine-tune the hyperparameters of your model. You can use the API's few-shot learning capability for more relevant results and to provide examples.

With just a few lines, you can integrate natural language understanding and generation into the product. The Cohere API allows you to access models that can read billions upon billions of pages and learn the meaning, sentiment, intent, and intent of every word we use. You can use the Cohere API for human-like text. Simply fill in a prompt or complete blanks. You can create code, write copy, summarize text, and much more. Calculate the likelihood of text, and retrieve representations from your model. You can filter text using the likelihood API based on selected criteria or categories. You can create your own downstream models for a variety of domain-specific natural languages tasks by using representations. The Cohere API is able to compute the similarity of pieces of text and make categorical predictions based on the likelihood of different text options. The model can see ideas through multiple lenses so it can identify abstract similarities between concepts as distinct from DNA and computers.

Watson Natural Language Understanding, a cloud native product, uses deep learning to extract metadata such as entities, keywords and categories, sentiments, emotions, relations, and syntax. Text analysis can be used to uncover the topics in your data. It extracts keywords, concepts and categories. Unstructured data can be analyzed in more than 13 languages. Machine learning models for text mining are available that can be used outside-of-the box to provide high accuracy across your content. Watson Natural Language Understanding can be deployed behind your firewall or on any other cloud. Watson Knowledge Studio allows you to train Watson to understand your business language and extract custom insights. You can keep control of your data and have the assurance that it is safe and secure. IBM will not store or collect your data. Our advanced natural language processing service (NLP), gives developers the tools to extract valuable insights from unstructured information.

HumanFirst offers a highly efficient infrastructure and workflows for exploring, curating and scaling your AI training data. We produce the capabilities to scale NLU & NLP. HumanFirst is a conversational AI platform. Real voice-of-the-customer data, always in the loop. HumanFirst Studio makes it easy to work with text and voice data to train and maintain NLU models that understand natural language. You can replace ad-hoc data collection and labeling with a seamless experience that lets you build and improve your AI's performance with real data. To train AI that understands customers, import your Search and Help Center requests and emails. Improve accuracy and discover intents. It is difficult to figure out what intents you need and to come up with training phrases manually. This can lead to poor coverage and inaccurate intents.

Arches AI offers tools to create chatbots, train custom model, and generate AI-based content, all tailored to meet your specific needs. Deploy stable diffusion models, LLMs and more. A large language model agent (LLM) is a type artificial intelligence that uses deep-learning techniques and large data sets in order to understand, summarize and predict new content. Arches AI converts your documents into 'word embeddings.' These embeddings let you search by semantic meaning rather than by exact language. This is extremely useful when trying understand unstructured text information such as textbooks or documentation. Your information is protected from hackers and other bad characters by the strict security rules. You can delete all documents on the 'Files page'.

Conversational language understanding is an AI feature that allows you to build applications with conversational language. It understands natural language and can extract key information about the user's goals from phrases. Create multilingual, customizable intent classification and entity extraction models across 96 languages for your domain-specific keyword or phrase. Train in a natural language, and use it in multiple languages without retraining. Create intents and entities quickly and label your own utterances. Add prebuilt components of a variety of commonly used types. Evaluation with quantitative measurements such as precision and recall. The intuitive and user-friendly Language Studio has a simple dashboard for managing model deployments. Use seamlessly with Azure AI Language and Azure Bot Service to create a conversational solution. Conversational language understanding (CLU) is the next-generation of Language Understanding.

Integrate our text analytics APIs into your product, platform, and application to add world-leading NLP. This is the most complete NLP feature stack available. It has been 19 years in development and is constantly improving with new configurations, models, and libraries. You can determine whether a piece is positive, neutral, or negative. Sort and organize documents into configurable groups. Determine the intended purpose of customers and reviewers. Locate people, places and dates. Find companies, products, jobs, titles and more. Our text analytics and NLP systems can be deployed on any combination of public, private, hybrid, or on-premise cloud infrastructures. Our core text analytics and natural-language processing software libraries are available to you. This product is ideal for data scientists and architects who need to have full access to the underlying technology, or for on-premise deployment security or privacy reasons.

Language Understanding (LUIS), a machine learning-based service that builds natural language into apps and bots. Rapidly create custom models that are enterprise-ready and can be continuously improved. Natural language can be added to your apps. LUIS is a language model that interprets conversations to find valuable information. It extracts information from sentences (entities) and interprets user intentions (goals). LUIS is seamlessly integrated with the Azure Bot Service, making creating sophisticated bots easy. You can quickly create and deploy a solution faster by combining powerful developer tools with pre-built apps and entity dictionary, such as Music, Calendar, and Devices. The collective knowledge of the internet is used to create dictionaries. This allows your model to identify valuable information from user conversations. Active learning is used for continuous improvement of the quality of the models.

Azure AI Language is an Azure managed service that allows you to develop applications for natural language processing. You can identify key terms and phrases, analyze emotion, summarize text and build conversational interfaces. Use Language to annotate AI models, train them, evaluate them, and deploy them with minimal machine learning expertise. Out-of-the-box capabilities, such as predefined entity categories for each business or text analytics for healthcare domains can help you get up and running quickly. You can also customize and optimize them when necessary. To train your machine-learning model, provide a few labeled example sentences. Multilingual models can be created in one language, and then used for many other languages. Language Studio allows you to scan your content and quickly suggest labels using advanced language models powered by GPT. Text can be categorized and labelled to extract vital information.

Graphlogic Conversational AI Platform consists of: Robotic Process Automation for Enterprises (RPA), Conversational AI, and Natural Language Understanding technology to create advanced chatbots and voicebots. It also includes Automatic Speech Recognition (ASR), Text-to-Speech solutions (TTS), and Retrieval Augmented Generation pipelines (RAGs) with Large Language Models. Key components: Conversational AI Platform - Natural Language understanding - Retrieval and augmented generation pipeline or RAG pipeline - Speech to Text Engine - Text-to-Speech Engine - Channels connectivity API Builder Visual Flow Builder Pro-active outreach conversations Conversational Analytics - Deploy anywhere (SaaS, Private Cloud, On-Premises). - Single-tenancy / multi-tenancy - Multiple language AI

Search powered by AI allows you to find specific answers and trends in documents and websites. Watson Discovery is an AI-powered search engine and text-analytics. It uses market-leading natural language processing technology to understand the unique language of your industry. It quickly finds answers in your content and uncovers business insights from documents, webpages, and big data. This reduces research time by more that 75%. Semantic search goes beyond keyword search. Watson Discovery provides context for answers to questions, which is a departure from traditional search engines. It quickly scans your connected data sources to find the most relevant passage, and then provides the source documents or webpage. Natural language processing and next-level search capabilities make all information accessible.

NLPatent's AI-powered patent searching platform enables you to instantly discover what your competitors are doing wrong. NLPatent's AI first approach to patent searching leverages large language models to understand innovations in a way that was only recently possible. Inform R&D strategy through rapid assessment of novelty and inventiveness. This will lead to better-informed patent applications, and a shorter time for prosecution. You can easily locate critical references and quantify risk to defend against threats. With the right intelligence and confidence to go to market, you can de-risk product development while also avoiding infringing existing patents. NLPatent can assess relevance by conceptual similarity, rather than blindly matching keywords, by describing your invention in natural languages. NLPatent is unique in that it optimizes search results through user-driven refinement, based on prior art and new data saved within the app.

GradientJ gives you everything you need to create large language models in minutes, and manage them for life. Save versions of prompts and compare them with benchmark examples to discover and maintain the best prompts. Chaining prompts and knowledge databases into complex APIs allows you to orchestrate and manage complex apps. Integrating your proprietary data with your models will improve their accuracy.

A human-machine partnership allows computers to perform monotonous tasks, allowing humans to concentrate on the creative, exciting details. Saifr started with access to millions upon millions of documents that represented the work of compliance and regulatory experts and thousands upon thousands of content creators. These data were the basis for Saifr's Natural Language Understanding models (NLU), and they are what makes Saifr unique in being able to mitigate regulatory and reputational risks. Traditional content workflows are inefficient and can be hampered by too many email hand-offs and touchpoints. Saifr's solutions encourage collaboration between professionals within and outside of the organization. This results in compliant materials that can be created, reviewed, approved and filed more efficiently. Our solutions allow companies to create compliant public communications more quickly.

Infosys Nia™, an enterprise-grade AI platform, simplifies the AI adoption process for IT and Business. Infosys Nia supports the entire enterprise AI journey, from data management, digitization and image capture, model development, and operationalization. Nia's modular, scalable and advanced capabilities meet enterprise needs. Nia Data provides highly efficient tools and frameworks to support further ML experimentation using the Nia AML Workbench. The Nia DocAI platform automates all aspects of document processing, from ingestion to consumption. It uses AI capabilities like InfoExtractor and NLP, cognitive search, and computer vision.

Openlayer will accept your data and models. Work with the team to align performance and quality expectations. You can quickly identify the reasons behind failed goals and find a solution. You have all the information you need to diagnose problems. Retrain the model by generating more data that looks similar to the subpopulation. Test new commits in relation to your goals, so that you can ensure a systematic progress without regressions. Compare versions side by side to make informed decisions. Ship with confidence. Save time on engineering by quickly determining what drives model performance. Find the quickest ways to improve your model. Focus on cultivating high quality and representative datasets and knowing the exact data required to boost model performance.

Create a natural language interface to your data. NLP is the heart of modern enterprise data processing. We provide developers the tools they need to quickly and efficiently build NLP systems that are ready for production. Our open-source framework allows for API-driven, scalable NLP application architectures. We believe in sharing. Our software is open-source. We value our community and make modern NLP accessible, practical, scalable, and easy to use. Natural language processing (NLP), a branch in AI, allows machines to interpret and process human language. Companies can use human language to interact and communicate with data and computers by implementing NLP. NLP is used in areas such as semantic search, question answering (QA), conversational A (chatbots), text summarization and question generation. It also includes text mining, machine translation, speech recognition, and text mining.

Personal computers can only understand simple commands, not complex human intentions. LAM translates natural language requests first into actionable steps, and then responses that the operating systems can use in real time. LAM is able to understand and operate human-oriented interfaces in all mobile and desktop environments, unlike APIs that have limited functionality. LAM not only knows how to interact with apps to achieve certain goals, but it also knows how it can be done in a humanizing manner.

Run multiple campaigns on different channels, such as WhatsApp, Facebook Messenger and Google Business Messaging. By establishing a conversational flow, publishing on omnichannel and analyzing every report, you can reap the benefits of sales. Engage consumers and deliver detailed responses in the form rich snippets, while customizing each one to fit any situation. Data visualization and populating data can enhance customer experience. AI chatbots that are constantly improving will power your conversations. Take control of your customer service management by auto-segmenting inquiries to the appropriate agent, triggering handoffs as needed, and taking complete control over your support management. Intelligent assistants can automatically identify the user's intent by using NLP, and then respond with solutions that are specific to their intent. The response is based on pattern recognition and metadata extracted from service providers or databases. Track everything that happens across all your channels to maintain a great customer relationship.

SparkCognition, an industrial AI company, has created a natural language processing solution that automates the workflows of unstructured data within companies so that humans can concentrate on high-value business decisions. DeepNLP uses machine learning to automate the retrieval, classification, and analysis of information. DeepNLP integrates with existing workflows to allow organizations to respond more quickly to changes in their businesses and get quick answers to specific queries.

GPT-3.5 is the next evolution to GPT 3 large language model, OpenAI. GPT-3.5 models are able to understand and generate natural languages. There are four main models available with different power levels that can be used for different tasks. The main GPT-3.5 models can be used with the text completion endpoint. There are models that can be used with other endpoints. Davinci is the most versatile model family. It can perform all tasks that other models can do, often with less instruction. Davinci is the best choice for applications that require a deep understanding of the content. This includes summarizations for specific audiences and creative content generation. These higher capabilities mean that Davinci is more expensive per API call and takes longer to process than other models.

Haystack’s pipeline architecture allows you to apply the latest NLP technologies to your data. Implement production-ready semantic searching, question answering and document ranking. Evaluate components and fine tune models. Haystack's pipelines allow you to ask questions in natural language, and find answers in your documents with the latest QA models. Perform semantic search to retrieve documents ranked according to meaning and not just keywords. Use and compare the most recent transformer-based language models, such as OpenAI's GPT-3 and BERT, RoBERTa and DPR. Build applications for semantic search and question answering that can scale up to millions of documents. Building blocks for the complete product development cycle, including file converters, indexing, models, labeling, domain adaptation modules and REST API.

GPT-3 models are capable of understanding and generating natural language. There are four main models available, each with a different level of power and suitable for different tasks. Ada is the fastest and most capable model while Davinci is our most powerful. GPT-3 models are designed to be used in conjunction with the text completion endpoint. There are models that can be used with other endpoints. Davinci is the most versatile model family. It can perform all tasks that other models can do, often with less instruction. Davinci is the best choice for applications that require a deep understanding of the content. This includes summarizations for specific audiences and creative content generation. These higher capabilities mean that Davinci is more expensive per API call and takes longer to process than other models.

GPT-4o (o for "omni") is an important step towards a more natural interaction between humans and computers. It accepts any combination as input, including text, audio and image, and can generate any combination of outputs, including text, audio and image. It can respond to audio in as little as 228 milliseconds with an average of 325 milliseconds. This is similar to the human response time in a conversation (opens in new window). It is as fast and cheaper than GPT-4 Turbo on text in English or code. However, it has a significant improvement in text in non-English language. GPT-4o performs better than existing models at audio and vision understanding.

GPT-4 (Generative Pretrained Transformer 4) a large-scale, unsupervised language model that is yet to be released. GPT-4, which is the successor of GPT-3, is part of the GPT -n series of natural-language processing models. It was trained using a dataset of 45TB text to produce text generation and understanding abilities that are human-like. GPT-4 is not dependent on additional training data, unlike other NLP models. It can generate text and answer questions using its own context. GPT-4 has been demonstrated to be capable of performing a wide range of tasks without any task-specific training data, such as translation, summarization and sentiment analysis.

TextRazor API allows you to extract and understand the Whos, Whats, Whys and Hows from your news stories with unparalleled accuracy and speed. Entity Extraction, Linking, and Disambiguation. Keyphrase extraction. Automatic Topic Tagging, Classification. All this in 12 languages. Deep analysis of your content allows you to extract Relationships, Typed Dependencies between words, and Synonyms. This allows for powerful context-aware semantic applications. Rapidly extract custom products and companies, and create problem-specific rules to tag your content with your own categories. TextRazor provides a cloud-based or self-hosted text analysis platform. Our combination of state-of-the art natural language processing techniques and a vast knowledgebase of real-life facts allows us to quickly extract the value from your documents.

Our Natural Language Processing (NLP) APIs offer best-in-class accuracy at a reasonable rate and cover all aspects NLP under one roof. You can save weeks of time creating and training language models. Our best-in-class APIs will help you get your app developed. We provide the foundations for creating your own apps, such as chatbots, sentiment analysis, and more. Text classification across multiple domains and in more than 100 languages. Perform sentiment analysis. Your business grows when we grow. We have simplified pricing so that you can easily scale your business as it grows. This is ideal for developers who create apps or build proof of concept. Go to the Dashboard to get your API Key. This key should be placed in the header of any API calls. To get started with coding, you can use our SDK in the language that you prefer. You can also refer to the 18 auto-generated code blocks.

You can query, explore, and easily share data. Askdata is the first platform to make data interaction effortless. Click the "+" icon at the top right to connect all your data. Easy-to-use data cards allow you to collect the results of your analysis and research. You can refine your data cards with images, charts, and personal content, and share them via the web, chat, and apps. We use all your data and analytics platforms to create a personal data experience. With a simple search, users can answer any data-related question. Askdata's natural-language querying technology allows users to instantly ask questions about connected data. No training is required. Every single search results in an improvement of our proprietary Human2SQL algorithm. Askdata employs cutting-edge AI and knowledge graph technologies to help users find relevant content organized in data cards.

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for building better, faster and stronger AI. We help enterprises and public sector organizations transform their data into actionable insights. Our technology is used across many industries including Defense, Retail, Manufacturing, Media and Entertainment, and more. We help our customers create innovative AI solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in computer vision AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai is headquartered in Delaware

OpenText™, Unstructured Data Analytics Products use AI and machine learning in order to help organizations discover and leverage key insights that are hidden deep within unstructured data such as text, audio, videos, and images. Organizations can connect their data at scale to understand the context and content locked in high-growth, unstructured content. Unified text, speech and video analytics support over 1,500 data formats to help you uncover insights within all types media. Use OCR, natural language processing and other AI models to track and understand the meaning of unstructured data. Use the latest innovations in deep neural networks and machine learning to understand spoken and written language in data. This will reveal greater insights.

Baidu Natural Language Processing is a cutting-edge technology that uses Baidu's vast data collection to develop natural language processing. Natural Language Processing is open to several core capabilities and solutions. These include more than ten types of abilities, such as sentiment analyses, address recognition, or customer comments analysis. Lexical analysis, which is based on word segmentation and part-of speech tagging technology, allows you to find basic language elements and eliminate ambiguity. It also supports accurate understanding. Semantic similarity can be calculated using deep neural networks, high-quality internet data, and vectorization to meet the requirements of business scenarios for high precision. Word vector representation is able to calculate texts by vectorizing words. It can help you complete semantic mining quickly.

Lunary is a platform for AI developers that helps AI teams to manage, improve and protect chatbots based on Large Language Models (LLM). It includes features like conversation and feedback tracking as well as analytics on costs and performance. There are also debugging tools and a prompt directory to facilitate team collaboration and versioning. Lunary integrates with various LLMs, frameworks, and languages, including OpenAI, LangChain and JavaScript, and offers SDKs in Python and JavaScript. Guardrails to prevent malicious prompts or sensitive data leaks. Deploy Kubernetes/Docker in your VPC. Your team can judge the responses of your LLMs. Learn what languages your users speak. Experiment with LLM models and prompts. Search and filter everything in milliseconds. Receive notifications when agents do not perform as expected. Lunary's core technology is 100% open source. Start in minutes, whether you want to self-host or use the cloud.

Spark NLP is an open-source library that provides scalable LLMs. The entire code base, including the pre-trained model and pipelines, is available under Apache 2.0 license. The only NLP library that is built natively on Apache Spark. The most widely used NLP Library in the enterprise. Spark ML offers a set machine learning applications which can be built with two main components: estimators and transformors. The estimators use a method to secure and train a piece of information for such an application. The transformer is usually the result of an fitting process that applies changes to the dataset. These components are embedded in Spark NLP. Pipelines combine multiple estimators and transformators into a single workflow. They allow for multiple transformations to be chained along a machine learning task.

Semantria (natural language processing) API is offered by Lexalytics, a leader in enterprise sentiment analysis and text analysis since 2004. Semantria provides multi-layered sentiment analysis, categorization and entity recognition, theme analysis as well as intention detection, summarization, and summary in an easy to integrate RESTful API package. Semantria can be customized through graphical configuration tools. It supports 24 languages and can be deployed across public, private and hybrid clouds. Semantria scales easily from single servers to entire data centres and back again to meet your processing needs. Integrate Semantria for powerful, flexible text analytics and natural word processing capabilities to cloud-based data analysis products or enterprise business intelligence infrastructure. To create a complete business intelligence platform, you can add Lexalytics storage or visualization tools to store, manage, analyze, and visualize text documents.

ChatGPT is an OpenAI language model. It can generate human-like responses to a variety prompts, and has been trained on a wide range of internet texts. ChatGPT can be used to perform natural language processing tasks such as conversation, question answering, and text generation. ChatGPT is a pretrained language model that uses deep-learning algorithms to generate text. It was trained using large amounts of text data. This allows it to respond to a wide variety of prompts with human-like ease. It has a transformer architecture that has been proven to be efficient in many NLP tasks. ChatGPT can generate text in addition to answering questions, text classification and language translation. This allows developers to create powerful NLP applications that can do specific tasks more accurately. ChatGPT can also process code and generate it.

Luminoso transforms unstructured text data to business-critical insights. We empower organizations to interpret and act on the information people give us by using common-sense artificial intelligence. Luminoso requires little setup, maintenance or training. It also doesn't require any data input. Luminoso combines the world's best natural language understanding technology with a vast knowledgebase to learn words from context - just like humans - and accurately analyze text in minutes instead of months. Our software offers native support in more than a dozen languages so leaders can quickly explore data relationships, make sense out of feedback, and triage queries to drive value. Luminoso, a privately held company, is headquartered in Boston MA.

Cortical.io offers AI-based Natural Language Understanding solutions such as Contract Intelligence or Message Intelligence that enable enterprises to search, extract, analyze, and annotate key information from any type of unstructured text. The Cortical.io artificial Intelligence-based solutions can quickly be trained unsupervised in any business domain's specialized vocabulary and can work across multiple languages. They have been used in a variety of business use cases at several Fortune 500 companies.

Conversational Intelligence allows humans to work with machines in a unique way. The machine can self-drive through data and uncover interesting patterns. Humans bring their intuition to the table. Humans and machines can play to their strengths, and work together to uncover hidden gems in the data. DataChat's Conversational Intelligence technology allows you to perform a wide range of data analytics functions. This includes exploratory data analysis, predictive analysis, structured querying and free search querying. You can also visualize data and handle data wrangling using one platform. You can do all this by simply speaking in controlled natural language to the platform. You can do more with less and get results faster. Even with small teams, you can get richer and more rapid insights from data and move your company at the speed data. Increase your competitive advantage. DataChat AI is a natural language, conversational data analytics platform.

NaturalText A.I. Your data can be used to get more. Discover relationships, build collections, and uncover hidden insights in documents and text-based data. NaturalText A.I. NaturalText A.I. uses artificial intelligence technology to uncover hidden data relationships. The software uses a variety of state-of-the art methods to understand context and analyze patterns to reveal insights - all in a human-readable manner. Discover hidden insights in your data It can be difficult, if not impossible, to find everything in your text data. Traditional search can only find information about a document. NaturalText A.I. on the other hand, uncovers new data within millions of documents, including patents and scientific papers. NaturalText A.I. NaturalText A.I. can help you uncover insights in your data that you are not currently seeing.

LM-Kit.NET, a cutting edge high-level inference toolkit, is designed to bring the advanced capabilities Large Language Models into the C# ecosystem. LM-Kit.NET is a powerful Generative AI toolkit that's tailored for developers who work within.NET. It makes it easier than ever before to integrate AI functionality into your applications. The SDK offers a wide range of AI features to cater to different industries. Text completion, Natural Language Processing, content retrieval and summarization, text enrichment, language translation are just a few of the many features. Whether you want to automate content creation or build intelligent data retrieval system, LM Kit.NET provides the flexibility and performance to accelerate your project.

Intelligent Speech Interaction is based on the most current technologies, including speech recognition, speech synthesizer, and natural language understanding. Intelligent Speech Interaction can be integrated into products by enterprises to allow them to listen, understand and converse with users. This provides a rich human-computer interaction experience. Intelligent Speech Interaction is available in Mandarin Chinese and Cantonese Chinese. It is also available in English, Japanese Korean, French, Indonesian, Korean, French, and Japanese. Please stay tuned for more languages. Intelligent Speech Interaction can be used in a variety of situations, including intelligent Q&A and intelligent quality inspection. It also allows for real-time subtitles for speeches and transcription of audio recordings. Intelligent Speech Interaction has been used in many industries, including finance, insurance, eCommerce, and smart home.

At Iris.ai we have spent the last 6 years building an award-winning AI engine for scientific text understanding. Our algorithms for text similarity, tabular data extraction, domain-specific entity representation learning and entity disambiguation and linking measure up to the best in the world. On top of that, our machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it and also give feedback to the system. The Iris.ai Researcher Workspace is a flexible tool suite that allows to approach a project in a variety of ways. Modules include content based explorative search, machine analysis of document sets, extracting and systematizing data points, automatically writing summaries of multiple documents - and very powerful filters based on context descriptions, the machine’s analysis, or specific data points or entities. The Iris.ai engine for scientific text understanding is a powerful interdisciplinary system that can be automatically reinforced on a specific research field for much more nuanced machine understanding - without human training or annotation.

PostgresML is an entire platform that comes as a PostgreSQL Extension. Build simpler, faster and more scalable model right inside your database. Explore the SDK, and test open-source models in our hosted databases. Automate the entire workflow, from embedding creation to indexing and Querying for the easiest (and fastest) knowledge based chatbot implementation. Use multiple types of machine learning and natural language processing models, such as vector search or personalization with embeddings, to improve search results. Time series forecasting can help you gain key business insights. SQL and dozens regression algorithms allow you to build statistical and predictive models. ML at database layer can detect fraud and return results faster. PostgresML abstracts data management overheads from the ML/AI cycle by allowing users to run ML/LLM on a Postgres Database.